Volumetric anatomical modeling from medical images

TitleVolumetric anatomical modeling from medical images
Publication TypeConference Paper
Year of Publication2004
AuthorsArchip, N., and R. Rohling
Conference NameEngineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Pagination1838 -1841
Date Publishedsep.
Keywords3D Delaunay tetrahedralization, 3D ultrasound data, anatomical models, biomedical ultrasonics, computed tomography, computerised tomography, image segmentation, medical image processing, medical images, mesh generation, nonobject tetrahedra, physiological models, segmented contours, surgical planning, tetrahedral mesh

Many clinical applications, such as surgical planning, require volumetric models of anatomical structures represented as a set of tetrahedra. A method of constructing anatomical models from medical images is presented. The method starts with a set of contours segmented from the medical images by a clinician and produces a model that has high fidelity with the contours. Unlike most modeling methods, the contours are not restricted to lie on parallel planes. The main steps are a 3D Delaunay tetrahedralization, culling of non-object tetrahedra, and refinement of the tetrahedral mesh. The result is a high-quality set of tetrahedra whose surface points are guaranteed to match the original contours. The key is to use the distance-map and bit-volume structures that were created along with the contours. The method is demonstrated on both computed tomography and 3D ultrasound data. Models of 170,000 tetrahedra are constructed on a standard workstation in approximately ten seconds.


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